Objectives We implement a novel enhanced recovery after surgery (ERAS) protocol with pre‐operative non‐opioid loading, total intravenous anesthesia, multimodal peri‐operative analgesia, and restricted red blood cell (pRBC) transfusions. 1) Compare differences in mean postoperative peak pain scores, opioid usage, and pRBC transfusions. 2) Examine changes in overall length of stay (LOS), intensive care unit LOS, complications, and 30‐day readmissions. Methods Retrospective cohort study comparing 132 ERAS vs. 66 non‐ERAS patients after HNC tissue transfer reconstruction. Data was collected in a double‐blind fashion by two teams. Results Mean postoperative peak pain scores were lower in the ERAS group up to postoperative day (POD) 2. POD0: 4.6 ± 3.6 vs. 6.5 ± 3.5; P = .004) (POD1: 5.2 ± 3.5 vs. 7.3 ± 2.3; P = .002) (POD2: 4.1 ± 3.5 vs. 6.6 ± 2.8; P = .000). Opioid utilization, converted into morphine milligram equivalents, was decreased in the ERAS group (POD0: 6.0 ± 9.8 vs. 10.3 ± 10.8; P = .010) (POD1: 14.1 ± 22.1 vs. 34.2 ± 23.2; P = .000) (POD2: 11.4 ± 19.7 vs. 37.6 ± 31.7; P = .000) (POD3: 13.7 ± 20.5 vs. 37.9 ± 42.3; P = .000) (POD4: 11.7 ± 17.9 vs. 36.2 ± 39.2; P = .000) (POD5: 10.3 ± 17.9 vs. 35.4 ± 45.6; P = .000). Mean pRBC transfusion rate was lower in ERAS patients (2.1 vs. 3.1 units, P = .017). There were no differences between ERAS and non‐ERAS patients in hospital LOS, ICU LOS, complication rates, and 30‐day readmissions. Conclusion Our ERAS pathway reduced postoperative pain, opioid usage, and pRBC transfusions after HNC reconstruction. These benefits were obtained without an increase in hospital or ICU LOS, complications, or readmission rates. Level of Evidence 3 Laryngoscope, 131:E792–E799, 2021

Perioperative neurocognitive disorder (PND) is now recognized as the most common postoperative complication in older surgical patients. Current multidisciplinary guidelines recommend simple cognitive screening of older adults before surgery. Patients identified at risk should have input from an interprofessional team with expertise caring for older surgical patients. Data suggest these recommendations are infrequently met. We set out to test feasibility of routine cognitive screening in a busy preoperative assessment clinic and establish a perioperative pathway with multidisciplinary support for patients identified at risk. METHODS: We undertook a prospective quality improvement study. A cohort of 1,803 older surgical patients scheduled for preoperative evaluation was screened with the Mini-Cog© test. As the project developed, we began confirmatory neurocognitive testing by occupational therapists for those patients flagged at risk. Patients confirmed at risk were referred for further evaluation by a geriatrician and geriatric pharmacist. Alerts were developed to flag patients at risk through their in-patient journey, and a multidisciplinary team developed a comprehensive care pathway. RESULTS: We demonstrated that implementing routine cognitive screening can be done in a busy clinic, regardless of prior experience. The prevalence of preoperative cognitive impairment was 21% in our older patients undergoing inpatient surgery, rising to 36% in those older than 85 years. When the Mini-Cog results were not known to providers, they were unable to identify cognitive impairment in half of the patients, supporting the use of a validated screening test. We established an interprofessional team and pooled relevant recommendations into an agefriendly perioperative care pathway for patients at increased cognitive risk. CONCLUSION: Cognitive screening must be done to reliably identify older surgical patients at risk of PND. Demonstrating the prevalence of cognitive impairment in older surgical patients can provide impetus to develop a multidisciplinary team and care pathway with the aim of reducing the incidence of PNDs.

A morphometric evaluation of number and grouping of megakaryocytes (MK) in five different groups of chronic myeloproliferative disorders (CMPD) was performed by counting 60 high power fields equaling approximately 14.28 mm2 of haematopoiesis in each case. Twenty-one up to 29 cases were evaluated for each of five categories of CMPD and one control group; a total of 132 cases of CMPD and 33 control cases were used. The mean number of MK per square millimetre was 15.54 +/- 1.53 in chronic myeloid leukaemia of common or granulocytic type (CML.CT), 69.91 +/- 5.85 in CML with megakaryocytic increase (CML.MI), 59.59 +/- 3.27 in polycythaemia vera (P. vera), 59.85 +/- 4.59 in primary thrombocythaemia (PTH), 67.58 +/- 4.11 in chronic megakaryocytic granulocytic myelosis (CMGM), and 19.7 +/- 3.07 in controls. The distinction between free or isolated MK, and between clustered or grouped MK corresponds to the total cell counts of MK in the various groups of CMPD. Clustering of MK was significantly higher in CMGM and PTH compared to other groups, but the difference between them was not statistically significant. Significant differences in the mean number of MK were obtained between controls and CML.CT on the one hand and all other groups of CMPD on the other. The results further support the histological sub-classification of CMPD according to the primary disorders of the Hannover classification (not advanced by sclerosis, fibrosis or excess of blasts, respectively).

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